Research Article
Review on DDoS Attack in Controller Environment of Software Defined Network
@ARTICLE{10.4108/eetsis.5823, author={Gunjani Vaghela and Nishant Sanghani and Bhavesh Borisaniya}, title={ Review on DDoS Attack in Controller Environment of Software Defined Network}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={12}, number={1}, publisher={EAI}, journal_a={SIS}, year={2025}, month={4}, keywords={Software Defined Networks, DDoS, Detection, Machine learning}, doi={10.4108/eetsis.5823} }- Gunjani Vaghela
Nishant Sanghani
Bhavesh Borisaniya
Year: 2025
Review on DDoS Attack in Controller Environment of Software Defined Network
SIS
EAI
DOI: 10.4108/eetsis.5823
Abstract
Distributed Denial of Service (DDoS) attacks pose a significant threat to the security and availability of networks. With the increasing adoption of Software-Defined Networking (SDN) and its multi-controller architectures, there is a need to explore effective DDoS attack detection mechanisms tailored to these environments. An overview of the current research on detecting DDoS attacks in SDN environments, with a focus on different detection techniques, methodologies and problems is presented in this survey paper. The survey attempt to identify the limitations and strengths of current approaches and propose potential research directions for improving DDoS detection in this context.
Copyright © 2024 Vaghela et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
